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JSON data files for 78 Flux Balance Analysis models (LP problems) from the BiGG database.
Genome-scale metabolic core models of E. coli downloaded from BiGG database were employed to perform all simulations in silico (Schellenberger et al. 2010).
The large scale model of cell metabolism included the set of metabolic reactions listed in the Table S1, which were compiled from the BiGG database [42].
As a representative token, we use the in silico reconstruction of the bacterium E. coli [28] compiled by the Systems Biology Research Group at UCSD available at the BiGG database [29] (other metabolic networks will be extensively analyzed elsewhere).
The data is available at the BiGG database (http://bigg.ucsd.edu/).edu/
The reaction directionality was assigned in accordance to the directionality listed in the BiGG database.
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We select nine datasets from the KEGG and BiGG databases to match the number of planetary atmosphere datasets.
we built temporary S matrices (one for the BioCyc C. beijerinckii reaction set, one for the KEGG/SEED draft network set, and one for the BiGG database--including only those reactions involving metabolites in the shared set (metabolites were ordered identically in each matrix); iii.
To evaluate our method, we simulated all single and double reaction knockouts for a number of genome-scale metabolic network reconstructions from the BiGG-database [ 24].
The metabolic networks come from the KEGG [16] and BiGG [17] database and are described in Ref. [7].
As an example, draft models can be first obtained from the model database BiGG [ 52] or be generated with the program KEGGtranslator [ 53, 54].
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